We introduce InternVL 2.5, an advanced multimodal large language model (MLLM) series
that builds upon InternVL 2.0, maintaining its core model architecture while introducing …

Mobile agents are essential for automating tasks in complex and dynamic mobile
environments. As foundation models evolve, the demands for agents that can adapt in real …

Building a generalist model for user interface (UI) understanding is challenging due to
various foundational issues, such as platform diversity, resolution variation, and data …

Graphical User Interface (GUI) automation holds significant promise for enhancing human
productivity by assisting with digital tasks. While recent Large Language Models (LLMs) and …

Existing efforts in building GUI agents heavily rely on the availability of robust commercial
Vision-Language Models (VLMs) such as GPT-4o and GeminiProVision. Practitioners are …

With the rapid rise of large language models (LLMs), phone automation has undergone
transformative changes. This paper systematically reviews LLM-driven phone GUI agents …

Building Graphical User Interface (GUI) assistants holds significant promise for enhancing
human workflow productivity. While most agents are language-based, relying on closed …

Ensuring accessibility in mobile applications remains a significant challenge, particularly for
visually impaired users who rely on screen readers. User interface icons are essential for …

Graphical User Interfaces (GUIs) are critical to human-computer interaction, yet automating
GUI tasks remains challenging due to the complexity and variability of visual environments …

Graphical User Interface (GUI) Agents, powered by multimodal large language models
(MLLMs), have shown great potential for task automation on computing devices such as …